Schema | Tagging MCP

Tagging MCP

Describes the environment variables required to run the server.

Name	Required	Description
`GROQ_API_KEY`	No	API key for Groq provider
`GEMINI_API_KEY`	No	API key for Gemini provider
`OPENAI_API_KEY`	No	API key for OpenAI provider
`ANTHROPIC_API_KEY`	No	API key for Claude (Anthropic) provider

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
tag_csvA	Tag all rows in a CSV file based on a provided taxonomy using parallel LLM inference.
preview_csvA	Preview the first few rows of a CSV file to understand its structure.
tag_csv_advancedA	Tag CSV rows using a custom taxonomy with multiple fields and detailed value definitions. This is the advanced version that accepts a full taxonomy dictionary for multi-dimensional classification.
get_tagging_infoA	Get information about the tagging MCP server and supported providers

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/daviddrummond95/tagging_mcp'

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